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Related Experiment Videos

Conducting Online Behavioral Research Using Crowdsourcing Services in Japan.

Yoshimasa Majima1, Kaoru Nishiyama1, Aki Nishihara2

  • 1Department of Psychology for Well-Being, Hokusei Gakuen University Sapporo, Japan.

Frontiers in Psychology
|April 7, 2017
PubMed
Summary
This summary is machine-generated.

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This study validates Japanese crowdsourcing workers for behavioral research, finding them comparable to traditional samples. Small screen devices negatively impact attention to instructions, suggesting device-specific recommendations are needed.

Area of Science:

  • Psychology
  • Human Behavior Research
  • Crowdsourcing Studies

Background:

  • Online labor markets, or crowdsourcing, are increasingly used for human behavior research.
  • Amazon's Mechanical Turk (MTurk) is a dominant platform, with prior studies validating its worker pool against traditional samples.
  • Existing research has not extensively validated non-MTurk, ethnically diverse crowdsourcing samples.

Purpose of the Study:

  • To extend validation findings to non-MTurk crowdsourcing samples, specifically Japanese workers.
  • To compare Japanese crowdsourcing workers with university students on key research metrics.
  • To identify factors influencing data quality in diverse online samples.

Main Methods:

  • Conducted three surveys with Japanese crowdsourcing workers and university students (N=1046 total).
Keywords:
instructional manipulation checknon-MTurk crowdsourcingonline studypersonalityreasoning

Related Experiment Videos

  • Assessed demographics, personality traits, reasoning skills, and attention to instructions.
  • Utilized comparative analysis to evaluate sample eligibility for behavioral research.

    • Main Results:

    • Japanese crowdsourcing participants demonstrated comparability to traditional samples in demographics, personality, and reasoning.
    • Attention to instructions was negatively impacted by the use of small screen devices.
    • Findings support the eligibility of non-MTurk crowdsourcing samples for behavioral research.

    Conclusions:

    • Non-MTurk crowdsourcing samples, including Japanese workers, are suitable for behavioral research.
    • Researchers should consider device type when designing online studies to ensure data quality.
    • Recommendations are provided for optimizing data collection with diverse online participant pools.